Full-Time

Business Analyst

Advanced Analytics

IT Trailblazers

IT Trailblazers

No salary listed

San Jose, CA, USA

In Person

Category
Business & Strategy (1)
Required Skills
SAS
R
SQL
Requirements
  • Strong knowledge of Advanced Analytics Delivery Management processes, tools, onsite-offshore engagement model.
  • Strong customer relationship and Advanced Analytics project management capabilities.
  • Excellent team management, communication and leadership skills
  • Experience on working in Onsite-offshore model.
  • Possess strong SQL skills to write queries to extract data from a Teradata environment.
  • Strong knowledge of SAS/R for executing the analysis.
  • Proven experience of using large data for providing Analytics solutions.
  • Knowledge of Hypothesis testing and A/B Testing.
  • Knowledge of Regression Modelling (including Linear and Logistic) and Customer Segmentation (Cluster Analysis).
  • Familiar with different phases of marketing/campaign analytics (campaign tracking, Response Modelling, Campaign optimization, Attribution Modelling etc).
  • Excellent communication and presentation skills and ability to write insights from analysis findings which can be effectively communicated to the customer.
  • Proven ability of delivering top quality projects/business analysis in high pressure situations on time.
  • Experience in Retail/CPG domain and experience with On-line Retailers preferred.
Responsibilities
  • Understand customer’s business challenges by analyzing online retailers and present findings to senior members of the client team.
  • Perform hands-on analytics and manage the onsite team while coordinating with offshore team on a day-to-day basis to execute all deliverables.
  • Transition existing reporting and analysis processes and execute them with premier quality and timeliness.
  • Write and modify SQL queries and pull data from multiple sources to execute analysis.
  • Apply statistical techniques such as regression, segmentation, cluster analysis to map business problems to appropriate methods.
  • Manage day-to-delivery activities and guide team in executing analytics projects.
  • Study and clean data and recommend actionable root causes of issues.
  • Communicate recommendations clearly and enable customer organization to implement them.

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